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Materials Engineering |
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EMA 3811 - Multifunctional Materials
Credits: 3
Prerequisites: COP 2272C - Computer Programming 1
Course Description: This course will cover how to engineer materials to achieve desired functions. Computational modeling approaches for optimizing materials properties and designs will be covered.
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EMA 4006 - Materials, Science, Structure, and Property
Credits: 3
Prerequisites: MAC 2313 - Analytic Geometry and Calculus 3 , PHY 2049 - Physics 2
Course Description: Introduction to the fundamental concepts of materials science, determining structure-processing-property relationships, and optimizing complex systems for maximum design attribute achievement. Additional topics include chemical kinetics and experimental design to determine material properties.
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EMA 4491 - Nanotechnology and Materials for Energy Storage and Generation
Credits: 3
Prerequisites: Permission of Instructor
Course Description: How nanomaterials are used in batteries, ultracapacitors, and solar cells. Theory of measurements used to evaluate energy storage devices. Overview of how devices are integrated into systems.
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EMA 4780 - Materials for Sustainability
Credits: 3
Prerequisites: EMA 3811 - Multifunctional Materials or permission from program director
Course Description: This course will explore how materials can contribute to more sustainable products and processes. Life cycle analysis, and optimizing competing design properties will also be covered.
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EMA 4781 - Nano EHS Risk Assessment
Credits: 3
Prerequisites: Permission of Instructor.
Course Description: This course covers the life cycle analysis of products and materials; exposure, hazard, and risk assessment models; and fate and transformations of nanomaterials.
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EMA 5533 - Advanced Nanoscale Characterization
Credits: 3
Prerequisites: None
Course Description: This course will cover the theory, operation, and maintenance of common nanoscale characterization instruments. Teams will also learn how to identify instrument vendors in a marketplace, develop bid requirements, technically evaluate bids, plan for adequate site infrastructure, and present written and oral reports of findings.
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EMA 5534 - Advanced Instrumentation
Credits: 3
Prerequisites: EMA 3530C - Introduction to Instrumentation and Characterization or equivalent
Course Description: The course provides an advanced inductive learning approach towards theory and real world experimentation utilizing instrumentation and characterization tools. In addition the processes for inferring experimental values, error in the system and other mechanisms. Principles of designing experiments, and validation of methods. Emphasis on proper interpretation of data from experiments and communicating results, including how subtle differences in wording and interdisciplinary applications.
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EMA 5812 - Molecular Modeling and Simulation
Credits: 3
Prerequisites: Graduate Standing
Course Description: This course provides a broad and practical introduction to the major techniques employed in the computational modeling of molecular structures on the nano-scale: computational chemistry, molecular dynamics, normal mode analysis, Monte Carlo simulations, electrostatics, and conformational analysis. The course will be useful for graduate students in the pharmaceutical and medical disciplines, or in nanotechnology and material science, who wish to model the physical and chemical properties of molecular structures.
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Mathematics Algebraic Structures |
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MAS 3105 - Linear Algebra
Credits: 3
Prerequisites: MAC 2313 - Analytic Geometry and Calculus 3 with a minimum grade of C (2.0).
Co-requisite or Prerequisite: None
Co-requisite: None
Course Description: This course stresses the theoretical aspects of the following topics: vector spaces, linear transformations, linear equations and matrices, determinants, inner products, eigenvalues, projections, and least square
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MAS 3114 - Computational Linear Algebra
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 with a grade of C or higher
Co-requisite or Prerequisite: None
Co-requisite: None
Course Description: Linear equations, matrices, and determinants; vector spaces and linear transformations; inner products and eigenvalues. This course emphasizes computational aspects of Linear Algebra.
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Mathematics Applied |
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MAP 2302 - Differential Equations
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 (with a minimum grade of C)
Course Description: The relationship between differential equations and initial conditions to physical problems in engineering, physics, technology and other applied areas is discussed. Students will be able to formulate, solve, and analyze the results of mathematical models of elementary physical problems and apply them. Topics include: first-order ordinary differential equations, theory of linear ordinary differential equations, solution of linear ordinary differential equations with constant coefficients, the Laplace transform and its application to solving linear ordinary differential equations.
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MAP 5436 - Applied Math
Credits: 3
Prerequisites: None
Course Description: This course covers probability, random processes, statistics, differential equations, special functions, Laplace and Fourier transforms for students with a level of mathematical maturity and experience comparable to that normally found in entering graduate students. The course will emphasize application of analytical methods to practical problems.
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Mathematics Calculus and Precalculus |
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MAC 1147 - Pre-calculus Algebra and Trigonometry
Credits: 4
Prerequisites: None
Course Description: Topics include the study of polynomial, rational, absolute value, exponential, and logarithmic functions. Other topics include matrices, system of equations and inequalities, Trigonometric functions and applications, analytic trigonometry. This course is intended for students whose major requires the calculus sequence.
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MAC 2311 - Analytic Geometry and Calculus 1
Credits: 4
Prerequisites: Any of the following: a grade of C in a MAC course numbered 1147 or higher; AP credit for MAC 2311 Analytic Geometry and Calculus 1;IB credit for a MAC course numbered 1147 or higher. Any course grades, AP or IB scores used to meet this prerequisite must be on file by registration.
Course Description: This course is an introduction to analytic geometry; limits; continuity; differentiation of algebraic, trigonometric, exponential and logarithmic functions; applications of the derivative; inverse trigonometric functions; differentials; introduction to integration; and the fundamental theorem of calculus.
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MAC 2312 - Analytic Geometry and Calculus 2
Credits: 4
Prerequisites: MAC 2311 - Analytic Geometry and Calculus 1
Course Description: Techniques of integration; applications of integration; differentiation and integration of inverse trigonometric, exponential, and logarithmic functions; sequences and series are presented in this class.
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MAC 2313 - Analytic Geometry and Calculus 3
Credits: 4
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2
Course Description: This course covers solid analytic geometry, vectors, partial derivatives and multiple integrals.
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Mathematics Discrete |
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MAD 2104 - Discrete Mathematics
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2
Course Description: This course discusses logic, sets, functions, integers, mathematical reasoning and induction, counting principles, permutations and combinations, discrete probability, advanced counting techniques and inclusion-exclusion.
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Optical Science and Engineering |
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Philosophy |
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PHI 2010 - Introduction to Philosophy
Credits: 3
Prerequisites: None
Course Description: This course is an introduction to the nature of philosophy, philosophical thinking, major intellectual movements in the history of philosophy, and specific problems in philosophy. This course meets communication/writing-intensive requirements (W).
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Physics |
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PHY 2048 - Physics 1
Credits: 3
Prerequisites: High-school Physics, PHY 2020 or the equivalent, and MAC 2311 - Analytic Geometry and Calculus 1
Co-requisite or Prerequisite: MAC 2312 - Analytic Geometry and Calculus 2
Co-requisite: PHY 2048L - Physics 1 Laboratory
Course Description: This is the first of a two-semester sequence of physics for technology and engineering. The course covers Newtonian mechanics and includes motion, vectors, Newton’s laws, work and conservation of energy, systems of particles, collisions, equilibrium, oscillations, thermodynamics and waves.
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PHY 2048L - Physics 1 Laboratory
Credits: 1
Prerequisites: None
Co-requisite: PHY 2048 - Physics 1
Course Description: This laboratory experience for PHY 2048 Physics with provides practical applications of Newtonian mechanics.
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PHY 2049 - Physics 2
Credits: 3
Prerequisites: PHY 2048 - Physics 1 , MAC 2312 - Analytic Geometry and Calculus 2
Co-requisite: PHY 2049L - Physics 2 Laboratory
Course Description: The second of a two-semester sequence of physics for scientists and engineers. Content includes Coulomb’s law, electric fields and potentials, capacitance, currents and circuits, Ampere’s law, Faraday’s law, inductance, Maxwell’s equations, electromagnetic waves, ray optics, interference and diffraction.
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PHY 2049L - Physics 2 Laboratory
Credits: 1
Prerequisites: None
Co-requisite: PHY 2049 - Physics 2
Course Description: This laboratory experience for with Analytic Geometry and Calculus 2 illustrates the practical applications of Coulomb’s law, electric fields and potentials, capacitance, currents and circuits, Ampere’s law, Faraday’s law, inductance, Maxwell’s equations, electromagnetic waves, ray optics, interference and diffraction.
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Psychology |
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PSY 2012 - General Psychology
Credits: 3
Prerequisites: None
Course Description: An introduction to the basic principles, theories, and methods of psychology surveying the various areas of psychology. This course meets communication/writing-intensive requirements (W).
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Quantitative Methods in Business |
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QMB 3200 - Advanced Quantitative Methods
Credits: 3
Prerequisites: and COP 2271C Introduction to Computation and Programming
Course Description: Advanced concepts in statistical analysis. Linear models and experimental design, multiple regression analysis, analysis of variance with multiple classification, analysis of covariance, repeated measures analysis of variance, multiple comparison techniques, and diagnostic procedures and transformations are discussed in this course.
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QMB 5565 - Quantitative Empirical Research Methods
Credits: 3
Prerequisites: None
Course Description: This course will begin with a concentrated review of probability, distributions of random variables, and hypothesis testing, and move on to provide a foundation in applied multivariate statistical methods. The course will focus not just on estimating models, but also on specifying, evaluating, and refining models to support a problem driven research agenda.
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Spanish Language |
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SPN 1100 - Beginning Spanish 1
Credits: 3
Prerequisites: None
Course Description: This course is the first in a sequence of two courses designed to develop the basic skills of listening, speaking, reading, and writing in Spanish language. It focuses on the acquisition of communicative language competence through multiple learning activities and continuous practice of both written and spoken forms of language.
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SPN 1101 - Beginning Spanish 2
Credits: 3
Prerequisites: SPN 1100 - Beginning Spanish 1
Course Description: This course is the second in a sequence of two courses designed to develop the basic skills of listening, speaking, reading, and writing in Spanish language. It focuses on the acquisition of communicative language competence through multiple learning activities and continuous practice of both written and spoken forms of language.
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Statistics |
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STA 2023 - Statistics 1
Credits: 3
Prerequisites: None
Course Description: This course covers probability, random variables, hypothesis testing, confidence interval estimation, small sample methods, correlation, simple linear regression, and nonparametric statistics.
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STA 3032 - Probability and Statistics
Credits: 3
Prerequisites: MAC 2312 - Analytic Geometry and Calculus 2 with a grade of C or higher
Co-requisite or Prerequisite: NA
Co-requisite: NA
Course Description: This course is a survey of the basic concepts in probability and statistics with applications in electrical, mechanical, and civil engineering. Topics include probability, common discrete and continuous probability distributions, estimation and hypothesis testing, and simple regression.
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Student Life Skills |
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SLS 1106 - Academic & Professional Skills
Credits: 1
Prerequisites: None
Course Description: This course is designed to prepare incoming Florida Poly students with the tools to successfully embark on their academic and career journey. It includes understanding your plan of study, the demands of college courses and methods for excelling in your studies. Students will also learn personal and academic project planning, self-reflections, essential career-skills, and opportunities for engaging in the full Florida Poly student experience.
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Transportation and Logistics |
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TRA 4174 - Hazardous Materials Management & Transportation
Credits: 3
Prerequisites: MAN 2591 Introduction to Operations and Supply Chain Management
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: This course presents the packaging, transport, storage and delivery of hazardous materials. The Environmental, Health and Safety (EHS) impact is also considered
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TRA 4945C - Science & Technology Capstone 1
Credits: 3
Prerequisites: EGS 3625 Engineering & Technology Project Management & Minimum of 72 Credit Hours Completed.
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: Students incorporate the major concepts presented during the first three years of study in the Science & Technology Management Program through application of a special project. The course will assess the student’s understanding of major concepts in logistics and supply chain management. TRA 4945C is part one of a two part sequence with TRA 4946C.
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TRA 4946C - Science & Technology Capstone 2
Credits: 3
Prerequisites: TRA 4945C Science & Technology Capstone 1
Co-requisite or Prerequisite: None.
Co-requisite: None.
Course Description: Students incorporate the major concepts presented during the first three years of study in the Science & Technology Management Program through application of a special project. The course will assess the student’s understanding of major concepts in logistics and supply chain management. TRA 4946C is part two of a two part sequence with TRA 4945C.
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